Brian Sha is a graduate student studying Computer Science at Stanford University and a mentor at Qualia Global Scholars.
He worked as a Teaching Fellow for Stanford’s first dual-enrollment Computer Science program, which awards Stanford credit to talented high school students from low-income communities and underrepresented backgrounds.
He has worked as a researcher for the Stanford Institute for Human-Centered Artificial Intelligence (HAI) on the Artificial Intelligence Index (supported by Stanford, Google, MIT, McKinsey, and OpenAI, among others).
He was part of the Stanford team that won first prize in the Rotman International Trading Competition’s Algorithmic Trading Case. As a software engineer and researcher at one of the top quantitative investment firms in the world, he helped manage an investment portfolio using cutting-edge AI, ML, and Data Science.
Professional Affiliations and Activities
Researcher, Stanford Institute for Human-Centered Artificial Intelligence
Teaching Fellow, Stanford University Department of Computer Science
First Prize Winner, Stanford Representative, Rotman International Trading Competition’s Algorithmic Trading Case
Software Engineer and Researcher, Quantitative Investment Firm
Education & Certifications
B.S., Stanford University, Computer Science
M.S., Stanford University, Computer Science